Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
data2vec-audio
Generated from Trainer
Eval Results (legacy)
Instructions to use None58/my_awesome_asr_mind_model3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use None58/my_awesome_asr_mind_model3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="None58/my_awesome_asr_mind_model3")# Load model directly from transformers import AutoTokenizer, AutoModelForCTC tokenizer = AutoTokenizer.from_pretrained("None58/my_awesome_asr_mind_model3") model = AutoModelForCTC.from_pretrained("None58/my_awesome_asr_mind_model3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 35c6acb45b3fd2781a5641baeb1f47180c5b042ef9899cda7868b2caa266fdcf
- Size of remote file:
- 373 MB
- SHA256:
- f64a0904105171a18bd267e6199efdc0d22b08b27ec26bd1077c1731ee0ef3e3
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